Stars
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Python tool for converting files and office documents to Markdown.
Simple, powerful, and fast logging for Python.
A set of tools to keep your pinned Python dependencies fresh.
A sphinx extension for designing beautiful, screen-size responsive web components.
A Python package for causal inference in quasi-experimental settings
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Fit interpretable models. Explain blackbox machine learning.
Hopular: Modern Hopfield Networks for Tabular Data
An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A Python package for time series classification
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
A garden for scikit-learn compatible trees
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Create publication-quality books from Jupyter notebooks
Create delightful software with Jupyter Notebooks
Always know what to expect from your data.
Python Data Science Handbook: full text in Jupyter Notebooks
Apache Kafka - A distributed event streaming platform
Data validation using Python type hints
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.